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© 2017

Advances in Intelligent Data Analysis XVI

16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings

  • Niall Adams
  • Allan Tucker
  • David Weston
Conference proceedings IDA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10584)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10584)

Table of contents

  1. Front Matter
    Pages I-XIII
    PDF
  2. Improving Chairlift Security with Deep Learning
    Kevin Bascol, Rémi Emonet, Elisa Fromont, Raluca Debusschere
    Pages 1-13
  3. Discovering Motifs with Variants in Music Databases
    Riyadh Benammar, Christine Largeron, Véronique Eglin, Myléne Pardoen
    Pages 14-26
  4. Biclustering Multivariate Time Series
    Ricardo Cachucho, Siegfried Nijssen, Arno Knobbe
    Pages 27-39
  5. Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects
    Rafael A. F. do Carmo, Soong Moon Kang, Ricardo Silva
    Pages 40-51
  6. Regression Tree for Bandits Models in A/B Testing
    Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
    Pages 52-62
  7. Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases
    Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini
    Pages 63-74
  8. Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features
    Khalid Eltayef, Yongmin Li, Bashir I. Dodo, Xiaohui Liu
    Pages 75-86
  9. Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening
    Alexander Fillbrunn, Leonard Wörteler, Michael Grossniklaus, Michael R. Berthold
    Pages 87-98
  10. Interactive Pattern Sampling for Characterizing Unlabeled Data
    Arnaud Giacometti, Arnaud Soulet
    Pages 99-111
  11. Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories
    Fragkiskos Gryllakis, Nikos Pelekis, Christos Doulkeridis, Stylianos Sideridis, Yannis Theodoridis
    Pages 112-124
  12. Natural Language Analysis of Online Health Forums
    Abul Hasan, Mark Levene, David J. Weston
    Pages 125-137
  13. Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes
    Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
    Pages 138-148
  14. KAPMiner: Mining Ordered Association Rules with Constraints
    Isak Karlsson, Panagiotis Papapetrou, Lars Asker
    Pages 149-161
  15. A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics
    Xiaowei Kortum, Lorenz Grigull, Werner Lechner, Frank Klawonn
    Pages 162-172
  16. ABIDE: Querying Time-Evolving Sequences of Temporal Intervals
    Orestis Kostakis, Panagiotis Papapetrou
    Pages 173-185
  17. The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950
    Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini
    Pages 186-197
  18. Learning DTW-Preserving Shapelets
    Arnaud Lods, Simon Malinowski, Romain Tavenard, Laurent Amsaleg
    Pages 198-209
  19. Droplet Ensemble Learning on Drifting Data Streams
    Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki
    Pages 210-222
  20. Predictive Clustering Trees for Hierarchical Multi-Target Regression
    Vanja Mileski, Sašo Džeroski, Dragi Kocev
    Pages 223-234

About these proceedings

Introduction

This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK.

The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems.

Keywords

artificial intelligence data mining learning systems classification information retrieval semantics learning algorithms supervised learning SVM association rules clustering social networks

Editors and affiliations

  • Niall Adams
    • 1
  • Allan Tucker
    • 2
  • David Weston
    • 3
  1. 1.Imperial College LondonLondonUnited Kingdom
  2. 2.Brunel University LondonUxbridgeUnited Kingdom
  3. 3.Birkbeck, University of LondonLondonUnited Kingdom

Bibliographic information